Improved Speech Dereverberation Method Using the Kurtosis-Maximization with the Voiced/Unvoiced/Silence Classification

Jeong JW, Se-Woon J, Park YC, Lee SP, Youn DH. Improved Speech Dereverberation Method Using the Kurtosis-Maximization with the Voiced/Unvoiced/Silence Classification. In: AES Convention 127. Audio Engineering Society; 2009. Paper 7894. Available from: https://aes.org/publications/elibrary-page/?id=15089

@inproceedings{Jeong2009_15089,
  author = {Jeong, Jae-Woong and Se-Woon, Jeon and Park, Young-Cheol and Lee, Seok-Pil and Youn, Dae-hee},
  title = {{Improved Speech Dereverberation Method Using the Kurtosis-Maximization with the Voiced/Unvoiced/Silence Classification}},
  booktitle = {AES Convention 127},
  note = {Paper 7894},
  year = {2009},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15089}
}

TY  - CPAPER
TI  - Improved Speech Dereverberation Method Using the Kurtosis-Maximization with the Voiced/Unvoiced/Silence Classification
AU  - Jeong, Jae-Woong
AU  - Se-Woon, Jeon
AU  - Park, Young-Cheol
AU  - Lee, Seok-Pil
AU  - Youn, Dae-hee
T2  - AES Convention 127
M1  - Paper 7894
PY  - 2009
DA  - 2009/10/06
UR  - https://aes.org/publications/elibrary-page/?id=15089
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we present a new speech dereverberation method using the kurtosis-maximization based on the voiced/unvoiced/silence (V/UV/S) classification. Since kurtosis of the UV/S sections are much smaller than V sections, adaptation of the dereverberation filter using these sections often results in slow and non-robust convergence, and, in turn, poor dereverberation. The proposed algorithm controls adaptation of the dereverberation filter using the results of V/UV/S classification, together with kurtosis measure of the input speech. For the selective control of adaptation, both hard decision and voice likelihood measure based on various features together with kurtosis were tried, and then, the step-size of the adaptive algorithm was varied according to various control strategies. The proposed algorithm provides better and more robust dereverberation performance than the conventional algorithm, which was confirmed through the experiments.
ER  -